@inproceedings{06b517f02d6b461798ad5574c092451a,
title = "Implementation of 3D Hand Gesture Recognition System using FPGA",
abstract = "In this paper, a VLSI design with dual-camera to construct the depth map and recognize hand gestures was proposed. The proposed system adopts adaptive depth filter which can separate foreground to segment the interesting object under complicated environment. We also proposed dynamic gesture recognition by using depth and coordinate information. The system contains one static gesture and two dynamic gestures and has been implemented in FPGA and the average accuracy with each gesture is 83.98%.",
keywords = "FPGA, Hand gesture recognition, Object labeling, SAD matching, VLSI",
author = "Tsai, {Tsung Han} and Ho, {Yuan Chen} and Tsai, {Yih Ru}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International SoC Design Conference, ISOCC 2018 ; Conference date: 12-11-2018 Through 15-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISOCC.2018.8649939",
language = "???core.languages.en_GB???",
series = "Proceedings - International SoC Design Conference 2018, ISOCC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "131--132",
booktitle = "Proceedings - International SoC Design Conference 2018, ISOCC 2018",
}